{"id":"W1784584481","doi":"10.1201/1086/43324.11.6.20030101/40429.6","title":"Improving Security from the Ground Up","year":2003,"lang":"en","type":"article","venue":"Information Systems Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Enforcement; Compliance (psychology); Audit; Information security; Business; Prime (order theory); Law enforcement; Computer security; Information security audit; Computer science; Internet privacy; Accounting; Network security policy; Security service; Political science; Law; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006323371,0.001338665,0.000781756,0.002455754,0.005036396,0.01442645,0.00133772,0.006241641,0.0278786],"category_scores_gemma":[0.01663937,0.000708963,0.000774974,0.001400969,0.007586276,0.03193228,0.01258255,0.01191583,0.01078153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004864466,"about_ca_system_score_gemma":0.006857573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327772,"about_ca_topic_score_gemma":0.002340569,"domain_scores_codex":[0.992558,0.002172382,0.0003072964,0.0006141027,0.003120636,0.001227599],"domain_scores_gemma":[0.9906782,0.002362612,0.0005005326,0.002112605,0.002274994,0.002071023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001831164,0.0004042258,0.003177972,0.0006354355,0.00008642016,0.0003146753,0.006526183,0.002878265,0.00574797,0.4137495,0.1662561,0.40004],"study_design_scores_gemma":[0.00003664675,0.000364491,0.002664698,0.001137949,0.00004863714,0.0003714808,0.005366799,0.001736586,0.003191794,0.344612,0.640412,0.00005690777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.05239067,0.02431821,0.09032577,0.4515641,0.005769789,0.0002623352,0.0002849504,0.002434507,0.3726498],"genre_scores_gemma":[0.6632317,0.03707249,0.08950628,0.07971208,0.003619133,0.0002821394,0.0006365966,0.001531738,0.1244079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0278786,"threshold_uncertainty_score":0.09326315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964880355860978,"score_gpt":0.2113947632712615,"score_spread":0.2014298829154005,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}